{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "87998fb4-1844-4d06-b6b0-3f2f9945f17b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "信息计算221班，刘显婷，224180117\n",
      "[[0 1 2]\n",
      " [3 4 5]\n",
      " [6 7 8]]\n"
     ]
    }
   ],
   "source": [
    "#创建⼀个3x3，并且值从0到8的二维数组\n",
    "print(\"信息计算221班，刘显婷，224180117\")\n",
    "import numpy as np\n",
    "#导入numpy库\n",
    "shuzu = np.arange(9).reshape(3,3)\n",
    "#创建数组np.arange(9)生成从0-8的一维数组，reshape(3,3)将其进行转换\n",
    "print(shuzu)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "a7128226-cfcb-44fe-9509-c0d178e871cb",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "信息计算221班，刘显婷，224180117\n",
      "[0. 0. 0. 0. 1. 0. 0. 0. 0. 0.]\n"
     ]
    }
   ],
   "source": [
    "#创建一个长度为10，并且除了第五个元素为1、其他元素都为0的一维数组\n",
    "print(\"信息计算221班，刘显婷，224180117\")\n",
    "yiweishuzu = np.zeros(10)\n",
    "#创建一个长度为10的全0一维数组\n",
    "yiweishuzu[4] = 1\n",
    "#将索引位置为4的第五个元素，值设置为1\n",
    "print(yiweishuzu)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "da64b6a1-84ba-43bc-9e74-7cb00312881e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "信息计算221班，刘显婷，224180117\n",
      "[[1 0 1 0 1 0 1 0]\n",
      " [0 1 0 1 0 1 0 1]\n",
      " [1 0 1 0 1 0 1 0]\n",
      " [0 1 0 1 0 1 0 1]\n",
      " [1 0 1 0 1 0 1 0]\n",
      " [0 1 0 1 0 1 0 1]\n",
      " [1 0 1 0 1 0 1 0]\n",
      " [0 1 0 1 0 1 0 1]]\n"
     ]
    }
   ],
   "source": [
    "#创建⼀个8x8的二维数组，并且设置成棋盘样式\n",
    "print(\"信息计算221班，刘显婷，224180117\")\n",
    "import numpy as np\n",
    "#导入numpy库\n",
    "board = np.zeros((8, 8), dtype=int)\n",
    "for i in range(8):\n",
    "    for j in range(8):\n",
    "        if (i + j) % 2 == 0:\n",
    "            board[i, j] = 1\n",
    "print(board)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "8a7995fb-c30b-4789-a57d-580a91420a16",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "信息计算221班，刘显婷，224180117\n",
      "     月份  日均最高气温(℃)  日均最低气温(℃)  平均降水总量(mm)  平均降水天数(天)\n",
      "0    一月          5         -5          21          2\n",
      "1    二月          8         -2          29          3\n",
      "2    三月         13          3          46          4\n",
      "3    四月         20          9          70          5\n",
      "4    五月         25         14         101          7\n",
      "5    六月         28         18          34          9\n",
      "6    七月         30         21          56         10\n",
      "7    八月         30         20         140          8\n",
      "8    九月         26         16          85          5\n",
      "9    十月         20         10          49          4\n",
      "10  十一月         13          3          29          2\n",
      "11  十二月          7         -2          17          2\n"
     ]
    }
   ],
   "source": [
    "#读取“天气.csv”文件中的内容并输出\n",
    "print(\"信息计算221班，刘显婷，224180117\")\n",
    "import pandas as pd\n",
    "# 读取“天气.csv”文件中的内容并输出\n",
    "df = pd.read_csv(\"D:/Users/19202/Desktop/天气.csv\", encoding='gbk')\n",
    "print(df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "4adabb61-549e-49f7-b8ef-8ce62748aa2d",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "信息计算221班，刘显婷，224180117\n",
      "     月份  日均最高气温(℃)  日均最低气温(℃)  平均降水总量(mm)  平均降水天数(天)\n",
      "0    1月          5         -5          21          2\n",
      "1    2月          8         -2          29          3\n",
      "2    3月         13          3          46          4\n",
      "3    4月         20          9          70          5\n",
      "4    5月         25         14         101          7\n",
      "5    6月         28         18          34          9\n",
      "6    7月         30         21          56         10\n",
      "7    8月         30         20         140          8\n",
      "8    9月         26         16          85          5\n",
      "9   10月         20         10          49          4\n",
      "10  11月         13          3          29          2\n",
      "11  12月          7         -2          17          2\n"
     ]
    }
   ],
   "source": [
    "#将“月份”列中的数据改为数字形式，例如“1月”“2月”等\n",
    "print(\"信息计算221班，刘显婷，224180117\")\n",
    "shuzi_dict = {\n",
    "    '一月': '1月',\n",
    "    '二月': '2月',\n",
    "    '三月': '3月',\n",
    "    '四月': '4月',\n",
    "    '五月': '5月',\n",
    "    '六月': '6月',\n",
    "    '七月': '7月',\n",
    "    '八月': '8月',\n",
    "    '九月': '9月',\n",
    "    '十月': '10月',\n",
    "    '十一月': '11月',\n",
    "    '十二月': '12月'\n",
    "}\n",
    "#建立字典将两者进行关联\n",
    "df['月份'] = df['月份'].map(shuzi_dict)\n",
    "#利用map函数进行映射，完成替换\n",
    "print(df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "3483358e-213a-4184-b97c-89bed2903f6e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "信息计算221班，刘显婷，224180117\n",
      "     月份  日均最高气温(℃)  日均最低气温(℃)  平均降水天数(天)\n",
      "0    1月          5         -5          2\n",
      "1    2月          8         -2          3\n",
      "2    3月         13          3          4\n",
      "3    4月         20          9          5\n",
      "4    5月         25         14          7\n",
      "5    6月         28         18          9\n",
      "6    7月         30         21         10\n",
      "7    8月         30         20          8\n",
      "8    9月         26         16          5\n",
      "9   10月         20         10          4\n",
      "10  11月         13          3          2\n",
      "11  12月          7         -2          2\n"
     ]
    }
   ],
   "source": [
    "#删除“平均降水总量(mm)”列\n",
    "print(\"信息计算221班，刘显婷，224180117\")\n",
    "df.drop('平均降水总量(mm)', axis=1, inplace=True)\n",
    "#axis=1表示列，“inplace=True”在原数据上操作\n",
    "print(df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "adf2baa5-a7b5-4728-8ce5-91b035ed5836",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "信息计算221班，刘显婷，224180117\n",
      "     月份  日均最高气温(℃)  日均最低气温(℃)  平均降水总量(mm)  平均降水天数(天)\n",
      "0    一月          5         -5          21          2\n",
      "1    二月          8         -2          29          3\n",
      "2    三月         13          3          46          4\n",
      "3    四月         20          9          70          5\n",
      "4    五月         25         14         101          7\n",
      "5    六月         28         18          34          9\n",
      "6    七月         30         21          56         10\n",
      "7    八月         30         20         140          8\n",
      "8    九月         26         16          85          5\n",
      "9    十月         20         10          49          4\n",
      "10  十一月         13          3          29          2\n",
      "11  十二月          7         -2          17          2\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1500x500 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#重新读取“天气.csv”文件，在一个图中绘制3个子图“全年温度曲线图”“全年降水量曲线图”“全年降水天数曲线图”\n",
    "print(\"信息计算221班，刘显婷，224180117\")\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "import matplotlib as mpl\n",
    "#重新读取天气.csv 文件 \n",
    "df = pd.read_csv(\"D:/Users/19202/Desktop/天气.csv\", encoding='gbk')\n",
    "print(df)\n",
    "mpl.rcParams['font.sans-serif'] = ['SimHei']  \n",
    "mpl.rcParams['axes.unicode_minus'] = False  \n",
    "# 创建一个包含 1 行 3 列的子图布局\n",
    "fig, axes = plt.subplots(1, 3, figsize=(15, 5))\n",
    "# 绘制全年温度曲线图\n",
    "# 绘制全年降水量曲线图\n",
    "# 绘制全年降水天数曲线图\n",
    "axes[0].plot(df['月份'], df['日均最高气温(℃)'], marker='o', label='日均最高气温')\n",
    "axes[0].plot(df['月份'], df['日均最低气温(℃)'], marker='o', label='日均最低气温')\n",
    "axes[0].set_title('日均最高气温和日均最低气温曲线图')\n",
    "axes[0].set_xlabel('月份')\n",
    "axes[0].set_ylabel('温度(℃)')\n",
    "axes[0].legend()\n",
    "axes[1].plot(df['月份'], df['平均降水总量(mm)'], marker='o')\n",
    "axes[1].set_title('全年降水量曲线图')\n",
    "axes[1].set_xlabel('月份')\n",
    "axes[1].set_ylabel('平均降水总量(mm)')\n",
    "axes[2].plot(df['月份'], df['平均降水天数(天)'], marker='o')\n",
    "axes[2].set_title('全年降水天数曲线图')\n",
    "axes[2].set_xlabel('月份')\n",
    "axes[2].set_ylabel('降水天数')\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "1dd9d099-20fa-48be-9b8e-da4f0317227d",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "信息计算221班，刘显婷，224180117\n",
      "     学号  姓名  课程  分数\n",
      "0  1001  张三  英语  92\n",
      "1  1002  李四  英语  95\n",
      "2  1003  王五  数学  60\n",
      "3  1003  王五  英语  79\n",
      "学号为1003的同学的英语成绩为: 3    79\n",
      "Name: 分数, dtype: int64\n"
     ]
    }
   ],
   "source": [
    "print(\"信息计算221班，刘显婷，224180117\")\n",
    "import pandas as pd\n",
    "#导入库\n",
    "df = pd.DataFrame({'学号':[1001,1002,1003,1003],\n",
    "                   '姓名':['张三','李四','王五','王五'],\n",
    "                   '课程':['英语','英语','数学','英语'],\n",
    "                   '分数':[92,95,60,79]})\n",
    "print(df)\n",
    "english_score_1003 = df[(df['学号'] == 1003) & (df['课程'] == '英语')]['分数']\n",
    "print(\"学号为1003的同学的英语成绩为:\",(english_score_1003))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "17600369-ee5d-4786-ac7e-b359a4f86044",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.12.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
